Air mass factor formulation for spectroscopic measurements from satellites: Application to formaldehyde retrievals from the Global Ozone Monitoring Experiment
Pi. Palmer et al., Air mass factor formulation for spectroscopic measurements from satellites: Application to formaldehyde retrievals from the Global Ozone Monitoring Experiment, J GEO RES-A, 106(D13), 2001, pp. 14539-14550
We present a new formulation for the air mass factor (AMF) to convert slant
column measurements of optically thin atmospheric species from space into
total vertical columns. Because of atmospheric scattering, the AMF depends
on the vertical distribution of the species. We formulate the AMF as the in
tegral of the relative vertical distribution (shape factor) of the species
over the depth of the atmosphere, weighted by altitude-dependent coefficien
ts (scattering weights) computed independently from a radiative transfer mo
del. The scattering weights are readily tabulated, and one can then obtain
the AMF for any observation scene by using shape factors from a three dimen
sional (3-D) atmospheric chemistry model for the period of observation. Thi
s approach subsequently allows objective evaluation of the 3-D model with t
he observed vertical columns, since the shape factor and the vertical colum
n in the model represent two independent pieces of information. We demonstr
ate the AMF method by using slant column measurements of formaldehyde at 34
6 nm from the Global Ozone Monitoring Experiment satellite instrument over
North America during July 1996. Shape factors are computed with the Global
Earth Observing System CHEMistry (GEOS-CHEM) global 3-D model and are check
ed for consistency with the few available aircraft measurements. Scattering
weights increase by an order of magnitude from the surface to the upper tr
oposphere. The AMFs are typically 20-40% less over continents than over the
oceans and are approximately half the values calculated in the absence of
scattering. Model-induced errors in the AMF are estimated to be similar to
10%. The GEOS-CHEM model captures 50% and 60% of the variances in the obser
ved slant and vertical columns, respectively. Comparison of the simulated a
nd observed vertical columns allows assessment of model bias.